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| PV Game | `pvg` | Applies a prover-verifier game approach at inference time |
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| CoT Decoding | N/A for proxy | Implements chain-of-thought decoding to elicit reasoning without explicit prompting |
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| Entropy Decoding | N/A for proxy | Implements adaptive sampling based on the uncertainty of tokens during generation |
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| Thinkdeeper | N/A for proxy | Implements the `reasoning_effort` param from OpenAI for reasoning models like DeepSeek R1 |
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## Implemented plugins
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| Plugin | Slug | Description |
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| ----------------------- | ------------------ | ---------------------------------------------------------------------------------------------- |
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| MCP Client | `mcp` | Implements the model context protocol (MCP) client, enabling you to use any LLM with any MCP Server |
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| Router | `router` | Uses the [optillm-modernbert-large](https://huggingface.co/codelion/optillm-modernbert-large) model to route requests to different approaches based on the user prompt |
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| Chain-of-Code | `coc` | Implements a chain of code approach that combines CoT with code execution and LLM based code simulation |
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| Memory | `memory` | Implements a short term memory layer, enables you to use unbounded context length with any LLM |
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| Privacy | `privacy` | Anonymize PII data in request and deanonymize it back to original value in response |
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| Read URLs | `readurls` | Reads all URLs found in the request, fetches the content at the URL and adds it to the context |
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| Execute Code | `executecode` | Enables use of code interpreter to execute python code in requests and LLM generated responses |
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| JSON | `json` | Enables structured outputs using the outlines library, supports pydantic types and JSON schema |
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## Available parameters
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